000			a
999			_c7852 _d7852
003			OSt
005			20181210101521.0
008			181210b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_96923 _aBangale, G. S.
245			_aDevelopment and optimization of lipsomal drug delivery system by 3/2 factorial design for cancer therapy
250			_aVol. 55 (05) May
260			_aMumbai _bIndian Drug Manufacture's Association - IDMA _c2018
300			_a14-24
520			_aThe objective of the present study was to develop nano range liposomal formulation for cancer therapy and optimize the formulation by response surface method, i.e. 32 factorial design, in order to minimize more efforts, time and material use when formulation like the liposomes are developed. Two independent variables, namely, the concentration of lipid (X1) and the concentration of cholesterol (X2), were set at three different levels. High and low levels of each variable were coded as 1 and -1, respectively, and the mean value was coded as zero. The dependent variables for factorial batches measured as vesicle size (Y1) was 61.5 to 72.3%, and % encapsulation efficiency (Y2) was found to be 127 to 240 nm. Stepwise regression analysis was used to find out the control factors that significantly affect response variables. The results were subjected to ANOVA and multiple regression analysis that led to equations describing the effect of independent variables on the selected responses. The level of significance selected was 5% (p<0.05). Contour plot and response surface plot were constructed & overlay plot was used to optimize the formulation by keeping the desired responses. The optimized formulation CL-10 has vesicle size of 132 nm & PDI value of 0.241. Zeta potential of formulation was -20.4, conforming the formulations stability. Vesicular morphology measured by SEM & TEM study indicates that the vesicle was spherical in nature. Stability study of optimized formulation was carried out for 6 months as per ICH guidelines at 40C and 370C and indicates no significant changes in parameters like % drug release, vesicle size, % EE supported by student t test (p=0.05).
650		0	_94639 _aPHARMACEUTICS
653			_aLiposomes
653			_apH gradient method
653			_aAnova
653			_aStudent t test
700			_96924 _aRajesh, K. S.
700			_96925 _aShinde. G. V.
773	0		_dMumbai Indian Drug Manufactures Association _tIndian drugs
942			_2ddc _cAR